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Population structure of the Trakehner Horse breed

Published online by Cambridge University Press:  01 January 2009

R. Teegen*
Affiliation:
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, D-24118 Kiel, Germany
C. Edel
Affiliation:
Bavarian State Research Centre for Agriculture, Institute of Animal Breeding, D-85580 Grub, Germany
G. Thaller
Affiliation:
Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, D-24118 Kiel, Germany
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Abstract

The objective of this study was to examine the population structure of the Trakehner Horse breed. A total of 13 793 pedigree records were used for analysing the active breeding population and their ancestors dating back to 1950. Ancestors that were born before 1950 were called as base animals. The average generation interval was calculated as 10.2 years. The effective population size (Ne) was estimated by the increase in average year-wise inbreeding coefficient and average coancestry, respectively. Two methods were applied to estimate the effective population size: 1. Numerator-relationship-matrix (NRM), which did not consider missing ancestries. 2. Uncertain-parentage-matrix (UPM), which considered a probabilistic correction for unknown ancestors. There were no major differences between these two methods with respect to the rate of increase in inbreeding although the global levels using the UPM method were observed to be higher. Estimates for the inbreeding coefficients and the average coancestries varied little between both methods. The estimates of the effective population size per generation based on the rate of inbreeding ranged from 169 (NRM) to 150 (UPM) and 158 (NRM) to 144 (UPM) calculated by the average coancestry. From the early 1990s onwards, a strong increase in the rate of inbreeding was observed. This may be due to an increasing variance of the family size of sires and may be interpreted as a consequence of the growing use of artificial insemination. Analysing coancestries within and between the centrally managed regional breeding societies in Germany further revealed the Trakehner horse breed to be a genetically fragmented population with a main partition corresponding to formerly divided East and West Germany. The average rate of gene contributions (Thoroughbred (xx), Arab Horse breed (ox)) to the defined actual breeding population was calculated to be 22.3% xx-genes and 11.7% ox-genes.

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Copyright
Copyright © The Animal Consortium 2008

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References

Annual Report of the Trakehner Breeding Association 2008. Retrieved May 9, 2008, from http://www.trakehner-verband.com/_resources/_pdf/geschaeftsbericht07.pdfGoogle Scholar
Bijma, P, van Arendonk, JAM, Woolliams, JA 2001. Predicting rate of inbreeding for livestock improvement schemes. Journal of Animal Science 79, 840853.CrossRefGoogle ScholarPubMed
Brisbane, JR, Gibson, JP 1995. Balancing selection response and rate of inbreeding by including genetic relationships in selection decisions. Theoretical and Applied Genetics 91, 421431.CrossRefGoogle ScholarPubMed
Caballero, A 1994. Developments in the prediction of effective population size. Heredity 73, 657679.CrossRefGoogle ScholarPubMed
Caballero, A, Toro, MA 2000. Interrelations between effective population size and other pedigree tools for the management of conserved populations. Genetical Research 75, 331343.CrossRefGoogle ScholarPubMed
Cothran, EG, MacCluer, JW, Weitkamp, LR, Pfennig, DW, Boyce, AJ 1984. Inbreeding and reproductive performance in Standardbred horses. Journal of Heredity 75, 220224.CrossRefGoogle ScholarPubMed
Edel C 2006. Zuchtzielbestimmung, populationsgenetische Analysen und Optimierung der Zuchtprogramme für die Pferderassen Süddeutsches Kaltblut und Haflinger. Bayerische Landesanstalt für Landwirtschaft (LfL), Schriftenreihe 9, Freising-Weihenstephan.Google Scholar
Falconer, DS, Mackay, TFC 1996. Introduction to quantitative genetics, 4th edition. Longman Group Ltd, Essex, UK.Google Scholar
FAO 1998. Secondary guidelines for development of national farm animal genetic resources management plans. Retrieved February 1, 2008, from http://lprdad.fao.org/cgi-bin/getblob.cgi?sid=-1,50006090Google Scholar
Faraway JJ 2002. Practical Regression and Anova using R. Retrieved April 28, 2008, from http://cran.r-project.org/doc/contrib/Faraway-PRA.pdfGoogle Scholar
Federal Ministry of Food, Agriculture and Consumer Protection (BLE) 2003. National Management Plan for the Conservation and Sustainable Use of Animal Genetic Resources in Germany. Retrieved February 1, 2008, from http://www.genres.de/tgr/nationales_fachprogramm/pdf_version/nfp-tgr-gesamttext.pdfGoogle Scholar
Gutiérrez, JP, Goyache, F 2005. A note on endog: a computer program for analysing pedigree information. Journal of Animal Breeding and Genetics 122, 172176.CrossRefGoogle ScholarPubMed
Hill, WG 1979. A note on effective population size with overlapping generations. Genetics 92, 317322.CrossRefGoogle ScholarPubMed
Hugason, K, Arnason, T, Jónmundsson, JV 1985. A note on the fertility and some demographical parameters of Icelandic Toelter horses. Livestock Production Science 12, 161167.CrossRefGoogle Scholar
Kräußlich, H 1994. Tierzüchtungslehre, 4. Auflage. Eugen Ulmer, Stuttgart.Google Scholar
Langlois, B 1980. Heritablity of racing ability in thoroughbreds – a review. Livestock Production Science 7, 591605.CrossRefGoogle Scholar
Meuwissen, THE 1997. Maximizing the response of selection with predefined rate of inbreeding. Journal of Animal Science 75, 934940.CrossRefGoogle ScholarPubMed
Meuwissen, THE, Woolliams, JA 1994. Effective sizes of livestock populations to prevent a decline in fitness. Theoretical and Applied Genetics 89, 10191026.CrossRefGoogle ScholarPubMed
Moureaux, S, Verrier, É, Ricard, A, Mériaux, JC 1996. Genetic variability within French race and riding horse breeds from genealogical data and blood marker polymorphisms. Genetics Selection Evolution 28, 83102.CrossRefGoogle Scholar
Nilforooshan, MA, Khazaeli, A, Edriss, MA 2008. Effects of missing pedigree information on dairy cattle genetic evaluations. Archiv für Tierzucht, Dummerstorf 51, 99110.Google Scholar
Nomura, T 1999. A mating system to reduce inbreeding in selection programmes: theoretical basis and modification of compensatory mating. Journal of Animal Breeding and Genetics 116, 351361.CrossRefGoogle Scholar
Pérez-Enciso, M 1995. Use of the uncertain relationship matrix to compute effective population size. Journal of Animal Breeding and Genetics 112, 327332.CrossRefGoogle Scholar
Pérez-Enciso, M, Fernando, RL 1992. Genetic evaluation with uncertain parentage: a comparison of methods. Theoretical and Applied Genetics 84, 173179.CrossRefGoogle ScholarPubMed
R Development Core Team 2004. R A language and environment for statistical computing. R – Foundation for Statistical Computing. Vienna, Austria. http://www.r-project.org/Google Scholar
Rutten, MJM, Bijma, P, Woolliams, JA, van Arendonk, JAM 2002. SelAction: software to predict selection response and rate of inbreeding in livestock breeding programs. Journal of Heredity 93, 456458.CrossRefGoogle ScholarPubMed
Sonesson, AK, Meuwissen, THE 2000. Mating schemes for optimum contribution selection with constrained rates of inbreeding. Genetics Selection Evolution 32, 231248.CrossRefGoogle ScholarPubMed
Teegen, R, Edel, C, Thaller, G 2008. Bewertung der Zuchtzielmerkmale des Trakehner Verbandes mit Hilfe der kontingenten Befragungsmethode (‘Contingent Valuation Method’, CV). Züchtungskunde 80, 99113.Google Scholar
Trakehner Verband 2005. Geschäftsbericht des Trakehner Verbandes 2005. Trakehner Hefte 26, 810.Google Scholar
Trakehner Verband 2006. Satzung des Verbandes der Züchter und Freunde des Ostpreußischen Warmblutpferdes Trakehner Abstammung. Retrieved June 25, 2007, from http://www.trakehner-verband.com/_resources/_pdf/Satzung%202006%20Kreuth.pdfGoogle Scholar
Valera, M, Molina, A, Gutiérrez, JP, Gómez, J, Goyache, F 2005. Pedigree analysis in the Andalusian horse: population structure, genetic variability and influence of the Carthusian strain. Livestock Production Science 95, 5766.CrossRefGoogle Scholar
von Stenglin, C 1994. Deutsche Trakehner Pferdezucht. Deutsche Pferdezucht, FN-Verlag, der Deutschen Reiterlichen Vereinigung GmbH, Warendorf.Google Scholar
von Velsen, E, Schulte, E 1981. Der Trakehner. Geschichte-Zucht-Leistung. Franckh-Verlag, Stuttgart.Google Scholar
Wray, NR, Goddard, ME 1994. Increasing long-term response to selection. Genetics Selection Evolution 26, 431451.CrossRefGoogle Scholar
Wright, S 1931. Evolution in Mendelian populations. Genetics 16, 97159.CrossRefGoogle ScholarPubMed